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The causal links between gut microbiota and COVID‐19: A Mendelian randomization study
Several studies have shown a possible correlation between gut microbiota and COVID‐19. However, the cause‐and‐effect relationship between the two has not been investigated. We conducted a two‐sample Mendelian randomization study (MR) study using publicly available GWAS data. Inverse variance weighte...
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Published in: | Journal of medical virology 2023-05, Vol.95 (5), p.e28784-n/a |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Several studies have shown a possible correlation between gut microbiota and COVID‐19. However, the cause‐and‐effect relationship between the two has not been investigated. We conducted a two‐sample Mendelian randomization study (MR) study using publicly available GWAS data. Inverse variance weighted (IVW) analysis was the main MR analysis technique and was supplemented with other sensitivity analyses. Forty‐two bacterial genera were associated with COVID‐19 susceptibility, hospitalization, and severity in the IVW method. Among these gut microbiota, five gut microbiota (genus unknowngenus [id.1000005472], family unknownfamily [id.1000005471], genus Tyzzerella3, order MollicutesRF9.id.11579, and phylum Actinobacteria) were significantly associated with COVID‐19 hospitalization and severity. Three gut microbiota (class Negativicutes, order Selenomonadales, and class Actinobacteria) were significantly associated with COVID‐19 hospitalization and susceptibility, while two microbiota (class Negativicutes and order Selenomonadales) were significantly associated with COVID‐19 hospitalization and severity, and susceptibility. Sensitivity analysis did not detect any heterogeneity and horizontal pleiotropy. Our findings demonstrated that several microorganisms were causally linked to COVID‐19, and improved our understanding of the relationship between gut microbiota and COVID‐19 pathology. |
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ISSN: | 0146-6615 1096-9071 |
DOI: | 10.1002/jmv.28784 |